EngineeringInfrastructureResearch

Generative AI Boosts Pipeline Safety Predictions Amid Data Scarcity

Advanced data augmentation techniques are revolutionizing pipeline safety assessments by generating synthetic corrosion data where real-world testing is impractical. The CopulaGAN-LightGBM combination reportedly delivers the highest predictive improvement, while SHAP analysis identifies critical failure factors. A new web platform now enables real-time residual strength calculations for industry professionals.

Breaking Through Data Barriers in Pipeline Integrity

Researchers have developed a novel approach to predicting the residual strength of corroded pipelines by combining generative artificial intelligence with machine learning, according to recent findings published in npj Materials Degradation. The method addresses a critical industry challenge: the scarcity of high-quality experimental data needed to train accurate predictive models for pipeline safety assessment.

AIComputingResearch

UK’s STFC Launches 24.41 Petaflops AI Supercomputer Named After Computing Pioneer Mary Coombs

The UK’s Science and Technology Facilities Council has unveiled a powerful new AI supercomputer at its Daresbury facility. The system, named after computing pioneer Mary Coombs, delivers 24.41 petaflops of performance and will support drug discovery and climate research.

New AI Supercomputer Deployment

The Science and Technology Facilities Council (STFC) has reportedly deployed a significant new computing resource at its Hartree Centre in Daresbury, UK. According to reports, the newly installed system delivers 24.41 petaflops of AI computing performance and has been named Mary Coombs in honor of the UK’s first female commercial computer programmer.